Run
65268

Run 65268

Task 1764 (Learning Curve) electricity Uploaded 20-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I10
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9553 ± 0.0037
Per class
Build CPU time
135.6908
Build memory
3068853973.52
F measure
0.8831 ± 0.0067
Per class
Kappa
0.7602 ± 0.0137
KB relative information score
0.7558 ± 0.0133
Mean absolute error
0.1186 ± 0.0064
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8832 ± 0.0067
Per class
Predictive accuracy
0.8834 ± 0.0066
Prior entropy
0.9835 ± 0
Recall
0.8834 ± 0.0066
Per class
Relative absolute error
0.2428 ± 0.013
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3201 ± 0.0093
Root relative squared error
0.6477 ± 0.0189
SciMark benchmark
1613.7772